The sensitive data leakage detection model based on Bayesian convolution neural network

2018 ◽  
Author(s):  
Chunliang Zhou ◽  
Zhengqiu Lu ◽  
Yangguang Liu
Keyword(s):  
Neural Network ◽  
Convolution Neural Network ◽  
Leakage Detection ◽  
Sensitive Data ◽  
Detection Model ◽  
Model Based

scholarly journals Intelligent Detection Model Based on a Fully Convolutional Neural Network for Pavement Cracks

2020 ◽  
Vol 123 (3) ◽  
pp. 1267-1291
Author(s):  
Duo Ma ◽  
Hongyuan Fang ◽  
Binghan Xue ◽  
Fuming Wang ◽  
Mohammed A. Msekh ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Detection Model ◽  
Model Based ◽  
Intelligent Detection

scholarly journals Core looseness fault identification model based on Mel spectrogram-CNN

2021 ◽  
Vol 2137 (1) ◽  
pp. 012060
Author(s):  
Ping He ◽  
Yong Li ◽  
Shoulong Chen ◽  
Hoghua Xu ◽  
Lei Zhu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Convolution Neural Network ◽  
Data Sets ◽  
Data Set ◽  
Recognition Model ◽  
Model Based ◽  
Fault Recognition ◽  
Transformer Core ◽  
Identification Model

Abstract In order to realize transformer voiceprint recognition, a transformer voiceprint recognition model based on Mel spectrum convolution neural network is proposed. Firstly, the transformer core looseness fault is simulated by setting different preloads, and the sound signals under different preloads are collected; Secondly, the sound signal is converted into a spectrogram that can be trained by convolutional neural network, and then the dimension is reduced by Mel filter bank to draw Mel spectrogram, which can generate spectrogram data sets under different preloads in batch; Finally, the data set is introduced into convolutional neural network for training, and the transformer voiceprint fault recognition model is obtained. The results show that the training accuracy of the proposed Mel spectrum convolution neural network transformer identification model is 99.91%, which can well identify the core loosening faults.

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